Onboard object recognition for planetary exploration
Onboard object recognition for planetary exploration
About this item
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Author / Creator
Publisher
Boston: Springer US
Journal title
Language
English
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Publication information
Publisher
Boston: Springer US
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Scope and Contents
Contents
Machine learning techniques have shown considerable promise for automating common visual inspection tasks such as the detection of human faces in cluttered scenes. Here, we examine whether similar techniques can be used (or adapted) for the problem of automatically locating geologic landforms in planetary images gathered by spacecraft. Beyond enabl...
Alternative Titles
Full title
Onboard object recognition for planetary exploration
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_miscellaneous_1671238818
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1671238818
Other Identifiers
ISSN
0885-6125
E-ISSN
1573-0565
DOI
10.1007/s10994-011-5239-6
